PET Bottle Quality Inspection Equipment Inline Camera Detection
System
Features of system
1. Start the inspection equipment and open the inspection software |
2. The inspection system is in standby |
3. When the product reaches the position where the visual
inspection camera takes pictures, the camera starts to take
pictures. |
4. The inspection system judges OK/NG and sends a signal to the
rejection device |
5. The rejection device is in standby |
6. If it is NG, it will automatically stop or reject (discharge)
processing |
7. If it is OK, do not process |
Inspection principle
With people's attention to food safety issues, more and more
manufacturers introduce machine vision technology into actual
production to achieve the purpose of improving production
efficiency and product quality. In order to ensure the quality of
each bottle of soy sauce to the greatest extent, soy sauce
manufacturers will conduct various tests to check the quality
before the products leave the factory.
Manual inspection is prone to false detection and low efficiency,
and has been gradually replaced by visual inspection equipment. The
production date coding on the soy sauce bottle is one of the
important indicators for consumers to judge food safety. Therefore,
before the soy sauce leaves the factory, the OCR, liquid level and
bottle cap of the soy sauce bottle need to be tested.
Inspection details
- Install an OCR character visual detection system on the soy sauce
production line;
- When the soy sauce bottle flows into the visual inspection station,
the image of the bottle taken by the machine vision sensor is
triggered and sent to the system. The system extracts and analyzes
the captured image and compares it with the set one to know whether
the cap of the soy sauce bottle is tightened properly and whether
the liquid level is in place. Within the standard working tolerance
range, whether the inkjet code is correct;
- When it is detected that the cap of the soy sauce bottle is not
tightened in place, the liquid level is not within the standard
tolerance range, or the coding is wrong, the system sends a signal
to the rejecting device for rejecting processing and alarm prompts.
In each production stage, it is equipped with machine vision to
identify these characters, barcodes or QR codes, and associates
these information in the background to achieve the traceability of
the production process.
Company profile
KEYETECH has always been committed to the application of artificial
intelligence in the field of vision technology, replacing human
eyes and brain decision with machine vision and AI reasoning
calculations, and integrating the quality detection and sorting to
industrial products in traditional manufacturing to make the
production more digitization , Intelligence, visualization, and
persistence. Also greatly improves the efficiency and accuracy of
industrial detection, and enhances the intelligent level of the
manufacturing industry.
** Our company have served many well-known enterprises such as
Coca-Cola, P&G,Unilever,ALPLA,C'estbon, Nongfu Spring, etc.,
and has won praise from many users.
After-sale service
The company has a complete technical service team and rapid
response mechanism, and has dedicated service specialists for each
customer, who can receive technical consultation and fault reports
from customers at any time. And to ensure rapid response to
customer emergencies, to ensure that customers receive satisfactory
service.During the epidemic or due to special reasons, when
after-sales engineers are unable to reach the site, the service
center can remotely adjust customer equipment for troubleshooting
and technical consultation.
